LAUSR

High-speed electric multiple unit (HSEMU) is a complex non-linear system which runs under three typical operating modes (OMs) including traction, braking, and coasting. With the increasing traffic density of the high-speed railway, the conventionally manual control strategies may be inapplicable for the HSEMU to maintain a good running performance. To enhance the running performances, in this study, a novel multiple OM (MOM) running model is designed to accurately describe the non-linear relationship between running speed and controlling force. By utilising the advantages of adaptive neuro-fuzzy inference system (ANFIS) on non-linear modelling, this study proposes an MOM-ANFIS model of HSEMU. On the basis of the established MOM-ANFIS model, a new speed controller incorporated with OM selection mechanism is designed to achieve speed control of HSEMU followed by a stability analysis of the closed-loop system. Comparative experimental results using practical running data show that the proposed MOM-ANFIS model displays better modelling accuracy and the corresponding control strategy achieves improved speed control performances for the HSEMU.